检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:魏辉 张宁 孟祥明 WEI Hui;ZHANG Ning;MENG Xiangming(Ji′nan Geotechnical Investigation and Surveying Institute,Ji′nan 250101,China;Shouguang Bureau of Natural Resources and Planning,Weifang 261000,China)
机构地区:[1]济南市勘察测绘研究院,山东济南250101 [2]寿光市自然资源和规划局,山东潍坊261000
出 处:《测绘与空间地理信息》2023年第7期131-134,共4页Geomatics & Spatial Information Technology
摘 要:利用2015年10月—2016年9月青岛市4个区PM_(10)、O_(3)、PM_(2.5)、SO_(2)、NO_(2)、CO 6种污染物、气象数据和车流量数据,统计分析了6种污染物的时空分布特征及污染物平均浓度与气象要素的相关性,并分析了污染物浓度与车流量之间的关系。结果表明:青岛市空气污染物具有明显的季节性差异,SO_(2)、NO_(2)、CO、PM_(10)和PM_(2.5)的浓度呈现夏、秋季低,冬、春季高的特点;O_(3)浓度呈现春、夏季高,秋、冬季低的特点;PM_(2.5)和PM_(10)在春季的浓度比夏季高;除O_(3)外,污染物浓度与降水量和气温呈负相关,与气压呈正相关。污染物浓度与车流量没有显著的相关关系。In this paper,the meteorological data,traffic flow data,and PM_(10),O_3,PM_(2.5),SO_2,NO_(2) and CO in four districts of Qingdao from October 2015 to September 2016 are used,the temporal and spatial distribution characteristics of six pollutants and the correlation between the average concentration of pollutants and meteorological elements are statistically analyzed,and the relationship between the concentration of pollutants and traffic flow is analyzed.The results show that there are obvious seasonal differences in air pollutants in Qingdao.The concentrations of SO_2,NO_2,CO,PM_(10) and PM_(2.5) are low in summer and autumn and high in winter and spring;O_(3) concentration is high in spring and summer and low in autumn and winter;The concentrations of PM_(2.5) and PM_(10) in spring were higher than those in summer;Except O_3,the pollutant concentration is negatively correlated to precipitation and air temperature,and positively correlated to air pressure.There is no significant correlation between pollutant concentration and traffic flow.
分 类 号:P237[天文地球—摄影测量与遥感]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.198